A Machine Learning Based Multiclass Classification Model Using Ftir Spectroscopy For Evaluating The Lard Adulteration

SIDDIQUI, MUHAMMAD AADIL (2023) A Machine Learning Based Multiclass Classification Model Using Ftir Spectroscopy For Evaluating The Lard Adulteration. Doctoral thesis, Universiti Teknologi PETRONAS.

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Abstract

Food safety, interpreting spectroscopic data, and predicting physical, chemical, functional, and sensory properties of various food products are the fundamental concerns in the field of food science.

Item Type:	Thesis (Doctoral)
Subjects:	T Technology > TK Electrical engineering. Electronics Nuclear engineering
Departments / MOR / COE:	Engineering > Electrical and Electronic
Depositing User:	Mr Ahmad Suhairi Mohamed Lazim
Date Deposited:	14 Sep 2023 07:10
Last Modified:	22 Jul 2024 03:20
URI:	http://utpedia.utp.edu.my/id/eprint/24884

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